Semi-supervised discriminant analysis method for face recognition

DOI10.1142/S0219691315500496zbMath1351.68245OpenAlexW2241026989MaRDI QIDQ2788482

Wen-Sheng Chen, Binbin Pan, Xiuli Dai, Yuan Yan Tang

Publication date: 19 February 2016

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691315500496

zbMATH Keywords

face recognitionsemi-supervised learninglocal featureglobal feature

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Polar radius integral transform for affine invariant feature extraction ⋮ Semi-supervised partial least squares

Uses Software

• FERET

Cites Work

• LPP solution schemes for use with face recognition
• A unified framework for semi-supervised dimensionality reduction
• An efficient discriminant-based solution for small sample size problem
• Geometric distribution weight information modeled using radial basis function with fractional order for linear discriminant analysis method
• Stable locality sensitive discriminant analysis for image recognition
• SUPERVISED REGULARIZATION LOCALITY-PRESERVING PROJECTION METHOD FOR FACE RECOGNITION
• OCCLUSION ROBUST FACE RECOGNITION WITH SCATTERING OPERATOR IN GRADIENT DOMAIN

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